A probability based procedure is presented for the optimum design of prestressed concrete poles. The cube strength of concrete, the ultimate strength of steel, the jacking stress at transfer, the cross sectional dimensions of the pole, the lever arm at which the load acts and the magnitude of the load acting on the pole are treated as random variables. The results obtained by the probabilistic design procedure are compared with those given by the deterministic procedure. The probability of failure of the pole obtained from the analytical method is found to be in good agreement with the value predicted by Monte Carlo simulation. The effect of variation of parameters like probability of failure and variability of cube strength of concrete is also studied. The optimum cost of the pole is found to increase as the probability of failure decreases. For large values of variability of concrete strength and small values of probability of failure, the compressive stress carrying capacity of the top section of the pole is found to be critical at the optimum point.
ASJC Scopus subject areas
- Environmental Engineering
- Civil and Structural Engineering
- Geography, Planning and Development
- Building and Construction